Advances in Fuzzy Decision Making Theory and Practice /

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathe...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Skalna, Iwona (Συγγραφέας), Rębiasz, Bogdan (Συγγραφέας), Gaweł, Bartłomiej (Συγγραφέας), Basiura, Beata (Συγγραφέας), Duda, Jerzy (Συγγραφέας), Opiła, Janusz (Συγγραφέας), Pełech-Pilichowski, Tomasz (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Studies in Fuzziness and Soft Computing, 333
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Skalna, Iwona.  |e author. 
245 1 0 |a Advances in Fuzzy Decision Making  |h [electronic resource] :  |b Theory and Practice /  |c by Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Beata Basiura, Jerzy Duda, Janusz Opiła, Tomasz Pełech-Pilichowski. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XI, 151 p. 58 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 333 
505 0 |a Fuzzy Numbers -- Ordering of Fuzzy Numbers -- Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence -- Multi-Attribute Decision Making Process and its Application -- Risk Assessment in the Presence of Uncertainty -- Application of Fuzzy Theory in Steel Production Planning and Scheduling -- Application of Fuzzy Decision Trees in Analog Forecasting -- Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data. 
520 |a This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike. 
650 0 |a Engineering. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Computational intelligence. 
650 0 |a Engineering economics. 
650 0 |a Engineering economy. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Engineering Economics, Organization, Logistics, Marketing. 
650 2 4 |a Operation Research/Decision Theory. 
700 1 |a Rębiasz, Bogdan.  |e author. 
700 1 |a Gaweł, Bartłomiej.  |e author. 
700 1 |a Basiura, Beata.  |e author. 
700 1 |a Duda, Jerzy.  |e author. 
700 1 |a Opiła, Janusz.  |e author. 
700 1 |a Pełech-Pilichowski, Tomasz.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319264929 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 333 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-26494-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)